Teaching by Principles: An Interactive Approach to Language Pedagogy (3rd Edition)





Teaching by Principles: An Interactive Approach to Language Pedagogy, Third Edition, by H. Douglas Brown, is a widely acclaimed methodology text used in teacher education programs around the world. This user-friendly textbook offers a comprehensive survey of practical language teachi ng options, all firmly anchored in accepted principles of language learning and teaching. End-of-chapter exercises give readers opportunities to process material interactively. Suggested readings direct readers to important books and articles in the field. This third edition of Teaching by Principles features: *new chapters on course design, technology, and critical pedagogy to reflect current trends and advances in methodology *prereading organizers at the beginning of each chapter *updated, expanded references *treatment of other recent "hot topics" of interest: *corpus linguistics *form-focused instruction *multiple intelligences *nonnative English-speaking teachers *autonomy *willingness to communicate *alternatives in assessment *reflective teaching Also by H.Douglas Brown: *Principles of Language Learning and Teaching, Fifth Edition *Language Assessment: Principles and Classroom Practices *Strategies for Success: A PRactical Guide to Learning English









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Foundations of Statistical Natural Language Processing





"Statistical natural-language processing is, in my estimation, one of the most fast-moving and exciting areas of computer science these days. Anyone who wants to learn this field would be well advised to get this book. For that matter, the same goes for anyone who is already in the field. I know that it is going to be one of the most well-thumbed books on my bookshelf." -- Eugene Charniak, Department of Computer Science, Brown University

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

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